Irregularly structured, low density parity check codes

ABSTRACT

An error correction codeword. In one embodiment, an irregularly structured LDPC code ensemble possessing strong overall error performance and attractive storage requirements for a large set of codeword lengths. Embodiments of the invention can offer communication systems with better performance and lower terminal costs due to possible reductions in mandatory non-volatile memory over conventional systems.

CROSS-REFERENCE TO RELATED PATENT APPLICATIONS

This application is an application claiming the benefit under 35 USC119(e) of U.S. Application No. 60/599,283, filed Aug. 5, 2004,incorporated herein by reference in its entirety.

FIELD OF THE INVENTION

The present invention relates generally to correction codes incommunication systems. More particularly, the present invention relatesto the use of correction codes for reliably conveying informationthrough channels having random events.

BACKGROUND OF THE INVENTION

Modern communication systems use Forward Error Correction (FEC) codes inan attempt to convey information more reliably through channels withrandom events. One such FEC error control system uses low density paritycheck (LDPC) codes. LDPC codes can have error correcting capabilitiesthat rival the performance of “Turbo-Codes” and can be applicable over awide range of statistical channels. In fact, some random irregular LDPCconstructions based upon edge ensemble designs have error correctingcapabilities measured in Bit Error Rate (BER) that are within 0.05 dB ofthe rate-distorted Shannon limit. Unfortunately, these LPDC codeconstructions often require long codeword constructions (on the order of10⁶ to 10⁷ bits) in order to achieve these error rates. Despite good BERperformance, these random code constructions often have poor Block ErrorRate (BLER) performances. Therefore, these random constructionstypically do not lend themselves well to packet-based communicationsystems.

Another disadvantage of random constructions based on edge distributionensembles is that, for each codeword length, a separate randomconstruction is needed. Thus, communication systems employing variableblock sizes (e.g. TCP/IP systems) require multiple code definitions.Such multiple code definitions can consume a significant amount ofnon-volatile memory for large combinations of codeword lengths and coderates.

As an alternative to random LDPC constructions, structured LDPCconstructions typically rely on a general algorithmic approach toconstructing LDPC matrices which often requires much less non-volatilememory than random constructions. One such structured approach is basedupon array codes. This approach can exhibit improved error performance(both BER and BLER performance) and a relatively low error floor forrelatively high code rates (higher than 0.85). However, for code ratesbelow 0.85, these code constructions have relatively poor performancewith respect to irregular random constructions designed for lower coderates. One reason for this poor performance can be that theirconstructions are typically based on code ensembles that have poorasymptotic performances despite being an irregular construction.

One challenge therefore is to design irregular structured LDPC codesthat have good overall error performance for a wide range of code rateswith attractive storage requirements. Such resulting LDPC codes wouldprovide a better performing communication system with lower costterminals. These factors can make such FEC attractive for applicationsover a wide range of products, including but not limited to, wirelessLAN systems, next generation cellular systems, and ultra wide bandsystems.

SUMMARY OF THE INVENTION

Embodiments of the present invention provides for an irregularlystructured LDPC code ensemble that has strong overall error performanceand attractive storage requirements for a large set of codeword lengths.Embodiments of the invention offer communication systems with betterperformance and lower terminal costs due to the reduction in mandatorynon-volatile memory over conventional systems.

In contrast to conventional approaches, embodiments of the inventionprovide a structured approach to construction, offering reduced storagerequirements and a simple construction. When used with seed matriceswith good asymptotic performances and good girth properties, theirregularly structured LDPC codes used in embodiments of the presentinvention offer an improved overall level of error performance.Embodiments of the invention also offer a parity-check matrix that islower in density than conventional array codes because there are fewernon-zero sub-matrices (i.e. there are more sub-matrices consisting ofthe all zeros matrix).

These and other objects, advantages and features of the invention,together with the organization and manner of operation thereof, willbecome apparent from the following detailed description when taken inconjunction with the accompanying drawings, wherein like elements havelike numerals throughout the several drawings described below.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is an overview diagram of a system within which embodiments ofthe invention may be implemented;

FIG. 2 is a perspective view of a mobile telephone that can be used inthe implementation of one embodiment the present invention;

FIG. 3 is a schematic representation of the telephone circuitry of themobile telephone of FIG. 2;

FIG. 4 is a flow chart showing the implementation of one embodiment ofthe present invention;

FIG. 5 is an example of a code rate 1/2 irregular parity-check matrixaccording to one embodiment of the present invention;

FIG. 6 is an example of a code rate 2/3 irregular parity-check matrixaccording to one embodiment of the present invention; and

FIG. 7 is an example of a code rate 3/4 irregular parity-check matrixaccording to one embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Various exemplary embodiments of the invention are described below withreference to the drawing figures. One embodiment of the invention can bedescribed in the general context of method steps, which may beimplemented in one embodiment by a program product includingcomputer-executable instructions, such as program code, executed bycomputers in networked environments. Embodiments of the invention may beimplemented in either hardware or software, and can be placed bothwithin a transmitter and/or a receiver.

FIG. 1 shows a system 10 illustrating one embodiment of the invention,comprising multiple communication devices that can communicate through anetwork. The system 10 may comprise any combination of wired or wirelessnetworks including, but not limited to, a mobile telephone network, awireless Local Area Network (LAN), a Bluetooth personal area network, anEthernet LAN, a token ring LAN, a wide area network, the Internet, etc.The system 10 may include both wired and wireless communication devices.

For exemplification, the system 10 shown in FIG. 1 can include a mobiletelephone network 11 and the Internet 28. Connectivity to the Internet28 may include, but is not limited to, long range wireless connections,short range wireless connections, and various wired connectionsincluding, but not limited to, telephone lines, cable lines, powerlines, and the like.

Exemplary communication devices of the system 10 may include, but arenot limited to, a mobile telephone 12, a combination PDA and mobiletelephone 14, a PDA 16, an integrated messaging device (IND) 18, adesktop computer 20, and a notebook computer 22. The communicationdevices may be stationary or mobile as when carried by an individual whois moving. The communication devices may also be located in a mode oftransportation including, but not limited to, an automobile, a truck, ataxi, a bus, a boat, an airplane, a bicycle, a motorcycle, etc. Some orall of the communication devices may send and receive calls and messagesand communicate with service providers through a wireless connection 25to a base station 24. The base station 24 may be connected to a networkserver 26 that allows communication between the mobile telephone network11 and the Internet 28. The system 10 may include additionalcommunication devices and communication devices of different types. Acommunication device may communicate using various media including, butnot limited to, radio, infrared, laser, cable connection, and the like.One such portable electronic device incorporating a wide variety offeatures is shown in FIG. 4. This particular embodiment may serves asboth a video gaming device and a portable telephone.

The communication devices may communicate using various transmissiontechnologies including, but not limited to, Code Division MultipleAccess (CDMA), Global System for Mobile Communications (GSM), UniversalMobile Telecommunications System (UMTS), Time Division Multiple Access(TDMA), Frequency Division Multiple Access (FDMA), Transmission ControlProtocol/Internet Protocol (TCP/IP), Short Messaging Service (SMS),Multimedia Messaging Service (MMS), e-mail, Instant Messaging Service(IMS), Bluetooth, IEEE 802.11, etc.

FIGS. 2 and 3 show one representative mobile telephone 12 within whichone embodiment of the present invention may be implemented. It should beunderstood, however, that the present invention is not intended to belimited to one particular type of mobile telephone 12 or otherelectronic device. The mobile telephone 12 of FIGS. 2 and 3 comprises ahousing 30, a display 32 in the form of a liquid crystal display, akeypad 34, a microphone 36, an ear-piece 38, a battery 40, an infraredport 42, an antenna 44, a smart card 46 in the form of a universalintegrated circuit card (UICC) according to one embodiment of theinvention, a card reader 48, radio interface circuitry 52, codeccircuitry 54, a controller 56 and a memory 58.

Generally, program modules can include routines, programs, objects,components, data structures, etc. that perform particular tasks orimplement particular abstract data types. Computer-executableinstructions, associated data structures, and program modules representexamples of program code for executing steps of the methods disclosedherein. The particular sequence of such executable instructions orassociated data structures represents examples of corresponding acts forimplementing the functions described in such steps.

Software and web implementations of the present invention could beaccomplished with standard programming techniques with rule-based logicand other logic to accomplish the various database searching steps,correlation steps, comparison steps and decision steps. It should alsobe noted that the words “component” and “module” as used herein, and inthe claims, are intended to encompass implementations using one or morelines of software code, and/or hardware implementations, and/orequipment for receiving manual inputs.

By taking into account the density evolution of messages passed inbelief propagation decoding, random constructions of irregular LDPCcodes can be developed that approach Shannon limits for an assortment ofchannels (e.g. Additive White Gaussian Noise (AWGN), Binary ErasureChannel (BEC), Binary Symmetric Channel (BSC)). These are typicallydescribed as ensembles with variable and check edge polynomials

${\lambda(x)} = {\sum\limits_{i = 2}^{d_{l}}{\lambda_{i}x^{i - 1}}}$and

${{\rho(x)} = {\sum\limits_{j = 2}^{d_{r}}{\rho_{j}x^{j - 1}}}},$respectively, where λ_(i) and ρ_(j) are the fraction of total edgesconnected to variable and check nodes of degree i=2,3, . . . , d_(l) andj=2,3, . . . , d_(l) respectively. These random constructions sometimesrequire the relatively long codeword lengths to approach the capacitylimit and do not always provide the strong BLER performance required bypacket-based communication systems. In actual communication terminals,these random constructions can require storage of the entireparity-check matrix, and for systems employing variable packet-length,the storage of multiple random constructions is both necessary andcostly.

Alternatively, structured approaches to LDPC code designs that allow forreduced storage requirements and simple code description may be used.One such example is the LDPC code construction based upon arrayconstructions. For code rates 0.85 and above, these code constructionscan have acceptable performance with good error floors and BLERs.However, with respect to random constructions, these constructionssometimes suffer at lower code rates because they have edgedistributions that result in relatively poor asymptotic performance andthus poor performance in general.

It is desirable thus, to provide irregularly structured LDPC codes thathave good overall error performance for a wide range of code rates withattractive storage requirements that make communication terminals costeffective. The result of such LDPC codes can do a better performingcommunication system with lower cost terminals. These factors can makesuch a FEC attractive for applications over a wide range of productsincluding but not limited to wireless LAN, next generation cellularsystems, and ultra wide band systems.

As discussed herein, an irregular “seed” parity-check matrix can be usedas the “seed” for irregular structured LDPC code some embodimentsaccording to the present invention. One embodiment invention involvesthe construction of an irregular “seed” low-density parity check-matrixH_(SEED) of dimension ((N_(SEED)−K_(SEED))×N_(SEED)) derived from anedge distribution, λ_(SEED) (x) and ρ_(SEED) (x), with good asymptoticperformance and good girth properties. In one embodiment, goodasymptotic performance may be characterized by a good threshold valueusing belief propagation decoding and good girth may be characterized byhaving very few if no variable nodes with a girth of 4. This can beaccomplished manually or via a software program once given the codeensemble and/or node degrees.

Although there are no limits on the maximum values of K_(SEED) andN_(SEED), which represent the number of information bits and theresulting codeword length, respectively in one embodiment, for the codedefined by H_(SEED), these values can be relatively small in comparisonto the target message-word and codeword length. This can allow for morepotential integer multiples of N_(SEED) within the target range ofcodeword lengths, reduced storage requirements, and simplified codedescriptions. In one embodiment of the invention, the smallest possiblevalue for H_(SEED) can be used with edge distributions defined byλ_(SEED) (x) and ρ_(SEED) (x), while still maintaining good girthproperties.

One function of the seed matrix can be to identify the location and typeof sub-matrices in the expanded LDPC parity-check matrix H constructedfrom H_(SEED) and a given set of permutation matrices. The permutationmatrices in H_(SEED) can determine the location of sub-matrices in theexpanded matrix H that contain a permutation matrix of dimension(N_(SPREAD)×N_(SPREAD)) from the given set. One selection within thegiven set of permutation matrices is defined below. As an example only,the given set of permutation matrices used herein can be finite andconsist of the set{P_(SPREAD) ^(∞), P_(SPREAD) ⁰, P_(SPREAD) ¹, P_(SPREAD) ², . . . ,P_(SPREAD) ^(p-1)}

where p is a positive integer (a prime number in a preferred embodimentof the invention), P_(SPREAD) ⁰=I is the identity matrix, P_(SPREAD) ¹is a full-rank permutation matrix, P_(SPREAD) ²=P_(SPREAD) ¹P_(SPREAD)¹, etc. up to P_(SPREAD) ^(p−1). One example embodiment of P_(SPREAD) ¹is a single circular shift mutation matrix

$P_{SPREAD}^{1} = {{\begin{bmatrix}0 & 1 & 0 & 0 & 0 \\0 & 0 & 1 & 0 & 0 \\0 & 0 & 0 & 1 & 0 \\0 & 0 & 0 & 0 & 1 \\1 & 0 & 0 & 0 & 0\end{bmatrix}\mspace{14mu}{for}\mspace{14mu} N_{SPREAD}} = 5}$

Another example embodiment of P_(SPREAD) ¹ is an alternate singlecircular shift permutation matrix

$P_{SPREAD}^{1} = {{\begin{bmatrix}0 & 0 & 0 & 0 & 1 \\1 & 0 & 0 & 0 & 0 \\0 & 1 & 0 & 0 & 0 \\0 & 0 & 1 & 0 & 0 \\0 & 0 & 0 & 1 & 0\end{bmatrix}\mspace{14mu}{for}\mspace{14mu} N_{SPREAD}} = 5.}$

For notational sake, P_(SPREAD) ^(∞) denotes the all zeros matrix 0 ofdimension (N_(SPREAD)×N_(SPREAD)) (i.e. P_(SPREAD) ^(∞)=0 where everyelement is a zero), and the zeros in H_(SEED) indicate the location ofthe sub-matrix P_(SPREAD) ^(∞)=0 in the expanded matrix H. Thus, theexpanded LDPC matrix H can be of dimension(N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)) with sub-matricesconsisting of permutation matrices of dimension (N_(SPREAD)×N_(SPREAD))raised to an exponential power from the set of {0,1, . . . , p−1, ∞}.

Furthermore, the expanded LDPC code can have the same edge distributionas H_(SEED) and hence can achieve the desired asymptotic performancedescribed by λ_(SEED) (x) and ρ_(SEED) (x), provided both H_(SEED) andthe expanded matrix H have satisfactory girth properties.

The following description concerns one embodiment of the invention thatconstructs a structured array exponent matrix that may be described as

${E_{ARRAY} = \begin{bmatrix}E_{1,1} & E_{1,2} & \ldots & E_{1,p} \\E_{2,1} & E_{2,2} & \ldots & E_{2,p} \\\vdots & \vdots & ⋰ & \vdots \\E_{p,1} & E_{p,2} & \ldots & E_{p,p}\end{bmatrix}},{{{where}\mspace{14mu} E_{i,j}} = {\left( {i - 1} \right)\left( {j - 1} \right)\mspace{11mu}{mod}\mspace{11mu} p}}$

using modulo arithmetic (but not limited to) of a number p. In oneembodiment of the invention, p can be a prime number, but this is notnecessary for the principles of the present invention. p can be at leastthe column dimension of the irregular “seed” parity check matrix and thecolumn dimension of the spreading permutation matrix. In one embodiment,N_(SEED)≦p and N_(SPREAD)≦p. However, other values are also possible.

Other embodiments of the present invention can use transformed versionsof E_(ARRAY). In particular, one such transformation involves theshifting of rows to construct an upper triangular matrix while replacingvacated element locations with ∞, i.e.

$E_{SHIFT} = {\begin{bmatrix}E_{1,1} & E_{1,2} & E_{1,3} & \ldots & E_{1,p} \\\infty & E_{2,1} & E_{2,2} & \ldots & E_{2,{p - 1}} \\\infty & \infty & E_{3,1} & \ldots & E_{3,{p - 2}} \\\vdots & \vdots & \vdots & ⋰ & \vdots \\\infty & \infty & \infty & \ldots & E_{p,1}\end{bmatrix}.}$

Another embodiment of the present invention transforms E_(ARRAY) by thetruncation of columns and/or rows to select a sub-matrix of E_(ARRAY)for implementation with a specified H_(SEED). Still another embodimentof the invention uses the combination of both shifting and truncation.For example, given N_(SEED)+1≦p and N_(SPREAD)≦p (with p being a primenumber in a particular embodiment of the invention)

$E_{{TRUNCATE}\; 1} = \begin{bmatrix}E_{1,2} & E_{1,3} & E_{1,4} & \ldots & E_{1,{({N_{SEED} - K_{SEED}})}} & \ldots & E_{1,{({N_{SEED} + 1})}} \\E_{2,1} & E_{2,2} & E_{2,3} & \ldots & E_{2,{({N_{SEED} - K_{SEED} - 1})}} & \ldots & E_{2,N_{SEED}} \\\infty & E_{3,1} & E_{3,2} & \ldots & E_{3,{({N_{SEED} - K_{SEED} - 2})}} & \ldots & E_{3,{({N_{SEED} - 1})}} \\\vdots & \vdots & ⋰ & ⋰ & \vdots & ⋰ & \vdots \\\infty & \infty & \infty & \ldots & E_{{({N_{SEED} - K_{SEED}})},1} & \ldots & E_{{({N_{SEED} - K_{SEED}})},{({K_{SEED} + 2})}}\end{bmatrix}$

For N_(SEED)+2≦p and N_(SPREAD)≦p (with p being a prime number in aparticular embodiment of the invention)

$E_{{TRUNCATE}\; 2} = {\begin{bmatrix}E_{2,2} & E_{2,3} & E_{2,4} & \ldots & E_{2,{({N_{SEED} - K_{SEED}})}} & \ldots & E_{2,{({N_{SEED} + 1})}} \\E_{3,1} & E_{3,2} & E_{3,3} & \ldots & E_{3,{({N_{SEED} - K_{SEED} - 1})}} & \ldots & E_{3,N_{SEED}} \\\infty & E_{4,1} & E_{4,2} & \ldots & E_{4,{({N_{SEED} - K_{SEED} - 2})}} & \ldots & E_{4,{({N_{SEED} - 1})}} \\\vdots & \vdots & ⋰ & ⋰ & \vdots & ⋰ & \vdots \\\infty & \infty & \infty & \ldots & E_{{({N_{SEED} - K_{SEED} + 1})},1} & \ldots & E_{{({N_{SEED} - K_{SEED} + 1})},{({K_{SEED} + 2})}}\end{bmatrix}.}$

Many shift and truncate embodiments can be used with the presentinvention, as well as column and row permutation transformationsperformed either prior to or after other individual transformations in anested fashion. More generally, the transformation of the E_(ARRAY)matrix can be described using the functional notation T(E_(ARRAY)) thatrepresents a transformed exponent matrix of dimension((N_(SEED)−K_(SEED))×N_(SEED)). Yet another embodiment of this family oftransformations may include an identity transformation. For example, inanother embodiment of the invention, T(E_(ARRAY))=E_(ARRAY).

In one embodiment of the present invention H_(SEED) and T(E_(ARRAY)) canbe used to construct the final exponent matrix in order to expand theseed matrix into H. The final exponent matrix may be defined as

$F_{FINAL} = \begin{bmatrix}F_{1,1} & F_{1,2} & \ldots & F_{1,N_{SEED}} \\F_{2,1} & F_{2,2} & \ldots & F_{2,N_{SEED}} \\\vdots & \vdots & ⋰ & \vdots \\F_{{({N_{SEED} - K_{SEED}})},1} & F_{{({N_{SEED} - K_{SEED}})},2} & \ldots & F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}\end{bmatrix}$

of dimension ((N_(SEED)−K_(SEED))×N_(SEED)) by replacing each one inH_(SEED) with the corresponding matrix element (i.e. the same row andcolumn) in the transformed structured array exponent matrix T(E_(ARRAY))and each zero in H_(SEED) with ∞. Thus, the elements of F_(FINAL) canbelong to the set {0,1, . . . , p−1, ∞} if modulo arithmetic is used inthe construction of E_(ARRAY).

The following is a discussion of one embodiment of the expansion ofH_(SEED) using F_(FINAL) to construct a final LDPC parity-check matrix Hthat describes the LDPC code. The matrix H_(SEED) of dimension((N_(SEED)−K_(SEED))×N_(SEED)) can be spread or expanded using theelements of the permutation matrix set{P _(SPREAD) ^(∞), P_(SPREAD) ⁰, P_(SPREAD) ¹, P_(SPREAD) ², . . . ,P_(SPREAD) ^(p-1)}

with elements of dimension (N_(SPREAD)×N_(SPREAD)), where P_(SPREAD)^(∞)=0 is the all zeros matrix, P_(SPREAD) ⁰=I is the identity matrix,P_(SPREAD) ¹ is a permutation matrix, P_(SPREAD) ²=P_(SPREAD)¹P_(SPREAD) ¹, P_(SPREAD) ³=P_(SPREAD) ¹P_(SPREAD) ¹P_(SPREAD) ¹,etc.(but not limited to) to construct

$H = \begin{bmatrix}P_{SPREAD}^{F_{1,1}} & P_{SPREAD}^{F_{1,2}} & \ldots & P_{SPREAD}^{F_{1,N_{SEED}}} \\P_{SPREAD}^{F_{2,1}} & P_{SPREAD}^{F_{2,2}} & \ldots & P_{SPREAD}^{F_{2,N_{SEED}}} \\\vdots & \vdots & ⋰ & \vdots \\P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},1}} & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},2}} & \ldots & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}}\end{bmatrix}$

of dimension (N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)). Thus,this embodiment of the present invention can be used to describe anexpanded LDPC code with sub-matrices of dimension(N_(SPREAD)×N_(SPREAD)) in the (i,j)^(th) sub-matrix location consistingof the permutation matrix P_(SPREAD) raised to the F_(i,j) power (i.e.P_(SPREAD) ^(F) ^(i,j) ).

The following is one particular example of the implementation of oneembodiment of the present invention. In this example,

${H_{SEED} = \begin{bmatrix}1 & 0 & 0 & 1 & 0 & 0 \\1 & 1 & 0 & 1 & 1 & 0 \\0 & 1 & 1 & 0 & 0 & 1 \\0 & 0 & 1 & 0 & 1 & 1\end{bmatrix}},{{{thus}\mspace{14mu} N_{SEED}} = 6},$

while

${P_{SPREAD}^{1} = \begin{bmatrix}0 & 0 & 1 \\1 & 0 & 0 \\0 & 1 & 0\end{bmatrix}},{{{thus}\mspace{14mu} N_{SPREAD}} = 3},$

Therefore, p=11 is the smallest prime number that satisfies the exampleconditions N_(SEED)+2 ≦p and N_(SPREAD)≦p. The interim and finalexponent matrices as defined above can be:

$\begin{matrix}{E_{{TRUNCATE}\; 2} = {\begin{bmatrix}1 & 2 & 3 & 4 & 5 & 6 \\0 & 2 & 4 & 6 & 8 & 10 \\\infty & 0 & 3 & 6 & 9 & 1 \\\infty & \infty & 0 & 4 & 8 & 1\end{bmatrix}\mspace{14mu}{and}}} \\{{F = \begin{bmatrix}1 & \infty & \infty & 4 & \infty & \infty \\0 & 2 & \infty & 6 & 8 & \infty \\\infty & 0 & 3 & \infty & \infty & 1 \\\infty & \infty & 0 & \infty & 8 & 1\end{bmatrix}},}\end{matrix}$

and the corresponding expanded LDPC matrix can be:

$H = {\begin{bmatrix}0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \\1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \\0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 \\0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \\0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \\0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 \\0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 \\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0\end{bmatrix}.}$

One embodiment of a method for constructing irregularly structured LDPCcodes according to the present invention is depicted in FIG. 4. At step100, an irregular “seed” parity check matrix H_(SEED) of dimension((N_(SEED)−K_(SEED))×N_(SEED)) can be constructed, being derived from anedge ensemble, λ_(SEED)(x) and ρ_(SEED)(x), with good asymptoticperformance. In one embodiment, good asymptotic performance can becharacterized by good threshold value using belief propagation decodingand good girth properties such as by having very few if no variablenodes with girth of 4. At step 110, a structured array exponent matrixcan be constructed, as shown below:

$E_{ARRAY} = {{\begin{bmatrix}E_{1,1} & E_{1,2} & \cdots & E_{1,p} \\E_{2,1} & E_{2,2} & \cdots & E_{2,p} \\\vdots & \vdots & ⋰ & \vdots \\E_{p,1} & E_{p,2} & \cdots & E_{p,p}\end{bmatrix}\mspace{14mu}{where}\mspace{14mu} E_{i,j}} = {\left( {i - 1} \right)\left( {j - 1} \right)\mspace{11mu}{mod}\mspace{14mu} p}}$

This matrix can be constructed using modulo arithmetic of a number pthat can be at least the column dimension of the irregular “seed” paritycheck matrix and the column dimension of the spreading permutationmatrix. In other words, N_(SEED)≦p and N_(SPREAD)≦p.

At step 120, the structured array exponent matrix can be transformedusing a transform T(E_(ARRAY)) that may perform shifts, truncations,permutations, etc. operations to construct an exponent matrix ofdimension ((N_(SEED)−K_(SEED))×N_(SEED)) from E_(ARRAY). At step 130, afinal exponential matrix can be constructed,

$F_{FINAL} = \begin{bmatrix}F_{1,1} & F_{1,2} & \cdots & F_{1,N_{SEED}} \\F_{2,1} & F_{2,2} & \cdots & F_{2,N_{SEED}} \\\vdots & \vdots & ⋰ & \vdots \\F_{{({N_{SEED} - K_{SEED}})},1} & F_{{({N_{SEED} - K_{SEED}})},2} & \cdots & F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}\end{bmatrix}$

of dimension ((N_(SEED)−K_(SEED))×N_(SEED)) by replacing each one inH_(SEED) with the corresponding element in the transformed structuredarray exponent matrix T(E_(ARRAY)) and each zero in H_(SEED) with ∞.Thus, the elements of F_(FINAL) belong to the set {0,1, . . . , p−1, ∞}.

At step 140, the expanded parity check matrix can be constructed,

$H = \begin{bmatrix}P_{SPREAD}^{F_{1,1}} & P_{SPREAD}^{F_{1,2}} & \cdots & P_{SPREAD}^{F_{1,N_{SEED}}} \\P_{SPREAD}^{F_{2,1}} & P_{SPREAD}^{F_{2,2}} & \cdots & P_{SPREAD}^{F_{2,N_{SEED}}} \\\vdots & \vdots & ⋰ & \vdots \\P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},1}} & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},2}} & \cdots & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}}\end{bmatrix}$

of dimension (N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)) thatdescribes the expanded LDPC code with sub-matrices of dimension(N_(SPREAD)×N_(SPREAD)) in the (i,j)^(th) sub-matrix location consistingof the permutation matrix P_(SPREAD) raised to the F_(i,j) power, i.e.P_(SPREAD) ^(F) ^(i,j) , where F_(i,j) is the matrix element in the(i,j)^(th) location of F_(FINAL).

FIG. 5 is an example of one embodiment of a rate 1/2 irregularparity-check matrix. FIG. 6 is an example of one embodiment of a rate2/3 irregular parity-check matrix. FIG. 7 is an example of oneembodiment of a rate 3/4 irregular parity-check matrix.

The foregoing description of embodiments of the present invention havebeen presented for purposes of illustration and description. It is notintended to be exhaustive or to limit the present invention to theprecise form disclosed, and modifications and variations are possible inlight of the above teachings or may be acquired from practice of thepresent invention. The embodiments were chosen and described in order toexplain the principles of the present invention and its practicalapplication to enable one skilled in the art to utilize the presentinvention in various embodiments and with various modifications as aresuited to the particular use contemplated.

1. A method of generating an error correction codeword, the methodcomprising: constructing an irregular seed parity check matrix derivedfrom an edge ensemble, the seed parity check matrix having a columndimension and a row dimension; constructing a structured array exponentmatrix using modulo arithmetic of a number equal to or greater than theseed parity check matrix column dimension; constructing a finalexponential matrix by replacing each one in the seed parity check matrixwith the corresponding element from the structured array exponent matrixand each zero in the seed parity check matrix with infinity; expandingthe final exponential matrix to form a parity check matrix correspondingto the error correction code; and generating an error correctioncodeword in accordance with the parity check matrix.
 2. The method ofclaim 1 further comprising transforming the structured array exponentmatrix prior to constructing the final exponential matrix.
 3. The methodof claim 2, wherein transforming the structured array exponent matrixcomprises performing shift, truncation, and/or permutation operations onthe structured array exponent matrix.
 4. The method of claim 1 furthercomprising constructing a set of permutation matrices, wherein thepermutation matrices are used to expand the final exponential matrix. 5.The method of claim 4 wherein the set of permutation matrices comprises{P_(SPREAD) ^(∞), P_(SPREAD) ⁰, P_(SPREAD) ¹, P_(SPREAD) ², . . . ,P_(SPREAD) ^(p−1)} and each permutation matrix in the set of permutationmatrices comprises a matrix of dimension (N_(SPREAD)×N_(SPREAD)) whereN_(SPREAD) comprises a column dimension of each permutation matrix, p isa positive integer, P_(SPREAD) ^(∞)=0 is the all zeros matrix,P_(SPREAD) ⁰=I is the identity matrix, P_(SPREAD) ¹ is a permutationmatrix, P_(SPREAD) ¹=P_(SPREAD) ¹, P_(SPREAD) ³=P_(SPREAD) ¹P_(SPREAD)¹P_(SPREAD) ¹, etc.
 6. The method of claim 5, wherein the errorcorrection codeword includes a number of information bits and a lengthand wherein the seed parity check matrix comprises H_(SEED) of dimension((N_(SEED)−K_(SEED))×N_(SEED)), wherein K_(SEED) is the number ofinformation bits of the error correction codeword and N_(SEED) is theresulting error correction codeword length.
 7. The method of claim 6,wherein the structured array matrix comprises${E_{ARRAY} = \begin{bmatrix}E_{1,1} & E_{1,2} & \cdots & E_{1,p} \\E_{2,1} & E_{2,2} & \cdots & E_{2,p} \\\vdots & \vdots & ⋰ & \vdots \\E_{p,1} & E_{p,2} & \cdots & E_{p,p}\end{bmatrix}},$ where E_(i,j)=(i−1)(j−1)mod p, where p is greater thanor equal to the column dimension of the seed parity check matrix and thecolumn dimension of each permutation matrix.
 8. The method of claim 7wherein the final exponential matrix comprises$F_{FINAL} = \left\lbrack \begin{matrix}F_{1,1} & F_{1,2} & \ldots & F_{1,N_{SEED}} \\F_{2,1} & F_{2,2} & \ldots & F_{2,N_{SEED}} \\\vdots & \vdots & ⋰ & \vdots \\F_{{({N_{SEED} - K_{SEED}})},1} & F_{{({N_{SEED} - K_{SEED}})},2} & \ldots & F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}\end{matrix} \right\rbrack$ of dimension ((N_(SEED)−K_(SEED))×N_(SEED))and the parity check matrix comprises $H = \begin{bmatrix}P_{SPREAD}^{F_{1,1}} & P_{SPREAD}^{F_{1,2}} & \ldots & P_{SPREAD}^{F_{1,N_{SEED}}} \\P_{SPREAD}^{F_{2,1}} & P_{SPREAD}^{F_{2,2}} & \ldots & P_{SPREAD}^{F_{2,N_{SEED}}} \\\vdots & \vdots & ⋰ & \vdots \\P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},1}} & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},2}} & \ldots & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}}\end{bmatrix}$ of dimension(N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)) describing a lowdensity parity check code with sub-matrices of dimension(N_(SPREAD)×N_(SPREAD)) in the (i,j)^(th) sub-matrix location consistingof a permutation matrix P_(SPREAD) raised to the F_(i,j) power, whereF_(i,j) is the matrix element in the (i,j)^(th) location of F_(FINAL).9. The method of claim 5, wherein p is a prime number.
 10. A computerprogram product embodied on a computer readable medium for generating anerror correction codeword, comprising: computer code for constructing anirregular seed parity check matrix derived from an edge ensemble, theseed parity check matrix having a column dimension and a row dimension;computer code for constructing a structured array exponent matrix usingmodulo arithmetic of a number equal to or greater than the seed paritycheck matrix column dimension; computer code for constructing a finalexponential matrix by replacing each one in the seed parity check matrixwith the corresponding element from the structured array exponent matrixand each zero in the seed parity check matrix with infinity; computercode for expanding the final exponential matrix to form a parity checkmatrix corresponding to the error correction code; and computer code forgenerating an error correction codeword in accordance with the paritycheck matrix.
 11. The computer program product of claim 10 furthercomprising computer code for transforming the structured array exponentmatrix prior to constructing the final exponential matrix.
 12. Thecomputer program product of claim 11, wherein transforming thestructured array exponent matrix comprises performing shift, truncation,and/or permutation operations on the structured array exponent matrix.13. The computer program product of claim 10 further comprising computercode for constructing a set of permutation matrices, wherein thepermutation matrices include a column dimension and the permutationmatrices are used to expand the final exponential matrix.
 14. Thecomputer program product of claim 13, wherein the error correctioncodeword includes a number of information bits and a length and whereinthe seed parity check matrix comprises H_(SEED) of dimension((N_(SEED)−K_(SEED))×N_(SEED)), wherein K_(SEED) is the number ofinformation bits of the error correction codeword and N_(SEED) is theresulting error correction codeword length.
 15. The computer programproduct of claim 14, wherein the structured array matrix comprises${E_{ARRAY} = \begin{bmatrix}E_{1,1} & E_{1,2} & \ldots & E_{1,p} \\E_{2,1} & E_{2,2} & \ldots & E_{2,p} \\\vdots & \vdots & ⋰ & \vdots \\E_{p,1} & E_{p,2} & \ldots & E_{p,p}\end{bmatrix}},$ where E_(i,j)=(i−1)(j−1)mod p, where p is greater thanor equal to the column dimension of the seed parity check matrix and thecolumn dimension of the permutation matrices.
 16. The computer programproduct of claim 15 wherein the final exponential matrix comprises$F_{FINAL} = \begin{bmatrix}F_{1,1} & F_{1,2} & \cdots & F_{1,N_{SEED}} \\F_{2,1} & F_{2,2} & \cdots & F_{2,N_{SEED}} \\\vdots & \vdots & ⋰ & \vdots \\F_{{({N_{SEED} - K_{SEED}})},1} & F_{{({N_{SEED} - K_{SEED}})},2} & \cdots & F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}\end{bmatrix}$ of dimension ((N_(SEED)−K_(SEED))×N_(SEED)) and theparity check matrix comprises $H = \begin{bmatrix}P_{SPREAD}^{F_{1,1}} & P_{SPREAD}^{F_{1,2}} & \cdots & P_{SPREAD}^{F_{1,N_{SEED}}} \\P_{SPREAD}^{F_{2,1}} & P_{SPREAD}^{F_{2,2}} & \cdots & P_{SPREAD}^{F_{2,N_{SEED}}} \\\vdots & \vdots & ⋰ & \vdots \\P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},1}} & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},2}} & \cdots & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}}\end{bmatrix}$ of dimension(N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)) describing a lowdensity parity check code with sub-matrices of dimension(N_(SPREAD)×N_(SPREAD)) in the (i,j)^(th) sub-matrix location consistingof a permutation matrix P_(SPREAD) raised to the F_(i,j) power, whereF_(i,j) is the matrix element in the (i,j)^(th) location F_(FINAL). 17.The computer program product of claim 15, wherein p is a prime number.18. An electronic device, comprising: a processor; and a memory unitoperative connected to the processor and including: computer code forgenerating an error correction codeword, the computer code comprising:computer code for constructing an irregular seed parity check matrixderived from an edge ensemble, the seed parity check matrix having acolumn dimension and a row dimension; computer code for constructing astructured array exponent matrix using modulo arithmetic of a numberequal to or greater than the seed parity check matrix column dimension;computer code for constructing a final exponential matrix by replacingeach one in the seed parity check matrix with the corresponding elementfrom the structured array exponent matrix and each zero in the seedparity check matrix with infinity; computer code for expanding the finalexponential matrix to form a parity check matrix corresponding to theerror correction code; and computer code for generating an errorcorrection codeword in accordance with the parity check matrix.
 19. Thedevice of claim 18 further comprising computer code for transforming thestructured array exponent matrix prior to constructing the finalexponential matrix.
 20. The device of claim 19, wherein transforming thestructured array exponent matrix comprises performing shift, truncation,and/or permutation operations on the structured array exponent matrix.21. The device of claim 18 further comprising computer code forconstructing a set of permutation matrices, wherein the permutationmatrices include a column dimension and the permutation matrices areused to expand the final exponential matrix.
 22. The device of claim 21,wherein the error correction codeword includes a number of informationbits and a length and wherein the seed parity check matrix comprisesH_(SEED) of dimension ((N_(SEED)−K_(SEED))×N_(SEED)), wherein K_(SEED)is the number of information bits of the error correction codeword andN_(SEED) is the resulting error correction codeword length.
 23. Thedevice of claim 22, wherein the structured array matrix comprises${E_{ARRAY} = \begin{bmatrix}E_{1,1} & E_{1,2} & \ldots & E_{1,p} \\E_{2,1} & E_{2,2} & \ldots & E_{2,p} \\\vdots & \vdots & ⋰ & \vdots \\E_{p,1} & E_{p,2} & \ldots & E_{p,p}\end{bmatrix}},$ where E_(i,j)=(i−1)(j−1)mod p, where p is greater thanor equal to the column dimension of the seed parity check matrix and thecolumn dimension of the permutation matrices.
 24. The device of claim 23wherein the final exponential matrix comprises$F_{FINAL} = \left\lbrack \begin{matrix}F_{1,1} & F_{1,2} & \ldots & F_{1,N_{SEED}} \\F_{2,1} & F_{2,2} & \ldots & F_{2,N_{SEED}} \\\vdots & \vdots & ⋰ & \vdots \\F_{{({N_{SEED} - K_{SEED}})},1} & F_{{({N_{SEED} - K_{SEED}})},2} & \ldots & F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}\end{matrix} \right\rbrack$ of dimension ((N_(SEED)−K_(SEED))×N_(SEED))and the parity check matrix comprises $H = \begin{bmatrix}P_{SPREAD}^{F_{1,1}} & P_{SPREAD}^{F_{1,2}} & \ldots & P_{SPREAD}^{F_{1,N_{SEED}}} \\P_{SPREAD}^{F_{2,1}} & P_{SPREAD}^{F_{2,2}} & \ldots & P_{SPREAD}^{F_{2,N_{SEED}}} \\\vdots & \vdots & ⋰ & \vdots \\P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},1}} & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},2}} & \ldots & P_{SPREAD}^{F_{{({N_{SEED} - K_{SEED}})},N_{SEED}}}\end{bmatrix}$ of dimension(N_(SPREAD)(N_(SEED)−K_(SEED))×N_(SPREAD)N_(SEED)) describing a lowdensity parity check code with sub-matrices of dimension(N_(SPREAD)×N_(SPREAD)) in the (i,j)^(th) sub-matrix location consistingof a permutation matrix P_(SPREAD) raised to the F_(i,j) power, whereF_(i,j) is the matrix element in the (i,j)^(th) location of F_(FINAL).25. The device of claim 23, wherein p is a prime number.